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https://issues.apache.org/jira/browse/SPARK-17296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15446382#comment-15446382
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Furcy Pin commented on SPARK-17296:
-----------------------------------
Yes, this is not critical though, a workaround is to invert the order between
T1 and T2.
> Spark SQL: cross join + two joins = BUG
> ---------------------------------------
>
> Key: SPARK-17296
> URL: https://issues.apache.org/jira/browse/SPARK-17296
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.0
> Reporter: Furcy Pin
>
> In spark shell :
> {code}
> CREATE TABLE test (col INT) ;
> INSERT OVERWRITE TABLE test VALUES (1), (2) ;
> SELECT
> COUNT(1)
> FROM test T1
> CROSS JOIN test T2
> JOIN test T3
> ON T3.col = T1.col
> JOIN test T4
> ON T4.col = T1.col
> ;
> {code}
> returns :
> {code}
> Error in query: cannot resolve '`T1.col`' given input columns: [col, col];
> line 6 pos 12
> {code}
> Apparently, this example is minimal (removing the CROSS or one of the JOIN
> causes no issue).
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